Application of gradient boosting regression model for the evaluation of feature selection techniques in improving reservoir characterisation predictions

Research article (Journal of Petroleum Science and Engineering, 2021) · cited 244× · AI/ML
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Application of gradient boosting regression model for the evaluation of feature selection techniques in improving reservoir characterisation predictions

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Application of gradient boosting regression model for the evaluation of feature selection techniques in improving reservoir characterisation predictions is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Application of gradient boosting regression model for the evaluation of feature selection techniques in improving reservoir characterisation predictions. Retrieved May 24, 2026, from https://4ort.xyz/entity/application-of-gradient-boosting-regression-model-for-the-evaluation-of-feature-selection-techniques-in-improving-reserv
MLA “Application of gradient boosting regression model for the evaluation of feature selection techniques in improving reservoir characterisation predictions.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/application-of-gradient-boosting-regression-model-for-the-evaluation-of-feature-selection-techniques-in-improving-reserv.
BibTeX @misc{4ortxyz_application-of-gradient-boosting-regression-model-for-the-evaluation-of-feature-selection-techniques-in-improving-reserv_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Application of gradient boosting regression model for the evaluation of feature selection techniques in improving reservoir characterisation predictions}}, year = {2026}, url = {https://4ort.xyz/entity/application-of-gradient-boosting-regression-model-for-the-evaluation-of-feature-selection-techniques-in-improving-reserv}, note = {Accessed: 2026-05-24}}
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